Microsampling for antidepressant drug analysis: Current state and perspectives

Michele Protti , Roberto Mandrioli , Laura Mercolini
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Abstract

Microsampling has emerged as a highly promising approach for the quantitative analysis of antidepressant drugs, offering key benefits in terms of minimal invasiveness, reduced blood volume requirements and suitability for decentralised and patient-centric sample collection. Historically, the clinical adoption of therapeutic drug monitoring (TDM) for antidepressants has lagged behind that for other CNS drugs, largely due to perceptions of a wide therapeutic window and moderate toxicity risk. However, growing recognition of pharmacokinetic variability, challenges in polypharmacy and evolving models of personalised medicine, now highlight the critical need for robust and adaptable analytical strategies in this field. Technologies such as dried blood spot (DBS) sampling, volumetric absorptive microsampling (VAMS), capillary- and microfluidic-generated DBS, capillary microsampling (CMS) and novel hybrid/automated platforms have been developed and validated for antidepressant quantification across diverse settings (including clinical, preclinical and forensic applications). This review provides a comprehensive analysis of the principles, methodologies and translational relevance of microsampling for antidepressants, critically summarising evidence from original research papers and key review papers. We explore technical and analytical challenges including matrix effects, haematocrit variability, sample stability and the processes underpinning quantitative bridging to conventional matrices such as plasma and serum. Major recent advances, like operator-independent volumetric devices and workflow automation, are contextualised within the broader push toward remote and home-based monitoring. Clinical validation studies, animal model research and post-mortem investigations are reviewed to illustrate the wide range and adaptability of these technologies. By highlighting both achievements and unresolved barriers, this work demonstrates how microsampling is poised to transform antidepressant TDM, research and future psychiatric pharmacotherapy.
抗抑郁药物微采样分析:现状和前景
微采样已经成为一种非常有前途的抗抑郁药物定量分析方法,在最小的侵入性、减少的血容量要求和适合分散和以患者为中心的样本收集方面提供了关键的好处。从历史上看,抗抑郁药的治疗性药物监测(TDM)的临床应用落后于其他中枢神经系统药物,这主要是由于人们认为治疗窗口较宽,毒性风险中等。然而,越来越多的人认识到药代动力学变异性,多药的挑战和个性化医疗模式的发展,现在突出了对该领域强大和适应性强的分析策略的迫切需要。干血斑(DBS)采样、体积吸收微采样(VAMS)、毛细管和微流体生成的DBS、毛细管微采样(CMS)和新型混合/自动化平台等技术已被开发并验证,可用于不同环境(包括临床、临床前和法医应用)的抗抑郁药定量。本综述全面分析了抗抑郁药物微采样的原理、方法和转化相关性,批判性地总结了原始研究论文和关键综述论文的证据。我们探讨了技术和分析方面的挑战,包括基质效应、红细胞压积变异性、样品稳定性和支撑定量桥接到传统基质(如血浆和血清)的过程。最近的主要进展,如独立于操作人员的体积测量设备和工作流程自动化,都是在更广泛地推动远程和家庭监控的背景下进行的。本文回顾了临床验证研究、动物模型研究和死后调查,以说明这些技术的广泛应用和适应性。通过强调成就和未解决的障碍,这项工作展示了微采样如何准备改变抗抑郁药TDM,研究和未来的精神药物治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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